scholarly journals Chinese undergraduate students' motivation profiles: Identification and significance

2021 ◽  
Author(s):  
◽  
Jie Gao
Keyword(s):  
Academic Success ◽  
Undergraduate Students ◽  
Approaches To Learning ◽  
Future Research ◽  
Quantitative Phase ◽  
Theories Of Intelligence ◽  
Motivation Factors ◽  
Motivation Profiles ◽  
And Control ◽  
Qualitative Phase

<p>This research sought to investigate the motivation of Chinese undergraduate students. It drew on Higgins’ (2012) conceptualization of motivation, which defined motivation as involving individuals’ simultaneous strivings for value, truth, and control effectiveness. Promotion, prevention, assessment, and locomotion are key general motivation tendencies that measure these three ways of strivings for effectiveness; these motivation tendencies interact to shape motivation effects (Higgins, 2012). This research examined the number and nature of the motivation configurations (i.e., motivation profiles) that mapped the interrelationships among promotion, prevention, assessment, and locomotion for a sample of Chinese undergraduate students. To this end, a mixed methods approach was adopted. First, quantitative data were collected from 886 Chinese undergraduate students at a Chinese university. The quantitative phase identified the motivation profiles and evaluated similarities/differences among the profiles with regard to important motivation factors pertaining to grit, theories of intelligence, critical thinking, effort regulation, and perceptions/evaluations of academic success. Then, the qualitative phase consisted of a multiple-case study of 19 interview participants who were purposefully selected from each of the motivation profiles identified in the quantitative phase.  Analyses of quantitative and qualitative data revealed important findings. Specifically, five distinct motivation profiles were determined in the quantitative phase. The first profile (i.e., C1) was characterized by having high/very high and comparable levels of all four motivation orientations. The C2 profile encompassed very strong prevention and average and comparable levels of the remaining orientations. The C3 profile was characterized by strong/very strong and comparable assessment, locomotion, and promotion, but very weak prevention. The C4 profile was characterized by having low/very low levels of assessment, locomotion, and promotion and below average levels of prevention. The C5 profile encompassed below average and comparable levels of assessment, locomotion, promotion, and somewhat stronger prevention. Subsequent analyses showed that there were statistically significant differences among the profiles with regard to most of the motivation factors investigated. Some of these differences were of medium to large/very large magnitude. The qualitative phase of this research provided an in-depth understanding of the different strategic approaches that students who have a certain motivation profile reported employing in their learning. The qualitative findings showed that the approaches to learning and learning related tasks/activities that were reported by the interview participants were generally in line with the characteristics of their motivation profiles.  Identifying and discussing Chinese undergraduate students’ motivation profiles contribute to understanding how the four general motivation tendencies (i.e., promotion, prevention, assessment, and locomotion) interact and how these interactions shape other motivation factors for this population. Moreover, findings from this research provide salient information regarding the motivation factors that undergird students’ academic success. This knowledge can help teachers/educators better understand students’ motivation and support productive outcomes in learning settings. In conclusion, this research makes important contributions to the existing motivation literature and educational practices. It also opens up novel directions for future research.</p>

scholarly journals Chinese undergraduate students' motivation profiles: Identification and significance

2021 ◽  
Author(s):  
◽  
Jie Gao
Keyword(s):  
Academic Success ◽  
Undergraduate Students ◽  
Approaches To Learning ◽  
Future Research ◽  
Quantitative Phase ◽  
Theories Of Intelligence ◽  
Motivation Factors ◽  
Motivation Profiles ◽  
And Control ◽  
Qualitative Phase

<p>This research sought to investigate the motivation of Chinese undergraduate students. It drew on Higgins’ (2012) conceptualization of motivation, which defined motivation as involving individuals’ simultaneous strivings for value, truth, and control effectiveness. Promotion, prevention, assessment, and locomotion are key general motivation tendencies that measure these three ways of strivings for effectiveness; these motivation tendencies interact to shape motivation effects (Higgins, 2012). This research examined the number and nature of the motivation configurations (i.e., motivation profiles) that mapped the interrelationships among promotion, prevention, assessment, and locomotion for a sample of Chinese undergraduate students. To this end, a mixed methods approach was adopted. First, quantitative data were collected from 886 Chinese undergraduate students at a Chinese university. The quantitative phase identified the motivation profiles and evaluated similarities/differences among the profiles with regard to important motivation factors pertaining to grit, theories of intelligence, critical thinking, effort regulation, and perceptions/evaluations of academic success. Then, the qualitative phase consisted of a multiple-case study of 19 interview participants who were purposefully selected from each of the motivation profiles identified in the quantitative phase.  Analyses of quantitative and qualitative data revealed important findings. Specifically, five distinct motivation profiles were determined in the quantitative phase. The first profile (i.e., C1) was characterized by having high/very high and comparable levels of all four motivation orientations. The C2 profile encompassed very strong prevention and average and comparable levels of the remaining orientations. The C3 profile was characterized by strong/very strong and comparable assessment, locomotion, and promotion, but very weak prevention. The C4 profile was characterized by having low/very low levels of assessment, locomotion, and promotion and below average levels of prevention. The C5 profile encompassed below average and comparable levels of assessment, locomotion, promotion, and somewhat stronger prevention. Subsequent analyses showed that there were statistically significant differences among the profiles with regard to most of the motivation factors investigated. Some of these differences were of medium to large/very large magnitude. The qualitative phase of this research provided an in-depth understanding of the different strategic approaches that students who have a certain motivation profile reported employing in their learning. The qualitative findings showed that the approaches to learning and learning related tasks/activities that were reported by the interview participants were generally in line with the characteristics of their motivation profiles.  Identifying and discussing Chinese undergraduate students’ motivation profiles contribute to understanding how the four general motivation tendencies (i.e., promotion, prevention, assessment, and locomotion) interact and how these interactions shape other motivation factors for this population. Moreover, findings from this research provide salient information regarding the motivation factors that undergird students’ academic success. This knowledge can help teachers/educators better understand students’ motivation and support productive outcomes in learning settings. In conclusion, this research makes important contributions to the existing motivation literature and educational practices. It also opens up novel directions for future research.</p>

scholarly journals The Road Less Travelled? Pathways from Passivity to Agency in Student Learning

2015 ◽  
Vol 8 ◽  
pp. 47 ◽  
Author(s):  
Gail Frost ◽  
Maureen Connolly
Keyword(s):  
Undergraduate Students ◽  
Subject Matter ◽  
Approaches To Learning ◽  
Future Research ◽  
The Road ◽  
Capstone Courses ◽  
Summative Assessments ◽  
Obvious Consequence ◽  
Practical Experiences ◽  
Journal Entries

This qualitative study examined fourth-year undergraduate students’ responses to reflective writing prompts and journal entries related to their practical experiences in two capstone courses, both based in SBL/PBL pedagogies. We examined their ‘strategic’ approaches to learning that make engagement with subject matter and learning processes more instrumental than meaningfully grasped and applied. Three levels of analysis were used in a recursive process of description, reduction, and interpretation, and the results were added to our previous work examining student responses to reflective activities that foster deep learning. Our provisional conclusions are that strategic learners are invested in a mastery relationship with subject matter that makes grade procurement the evidence of this mastery and this shifts their focus to product over process as an obvious consequence. This disconnect from process leads students to an unhelpful relationship with formative assessment and feedback. They tend to wrestle with the formative elements and see them as mini summative assessments or quasi final products, rather than the necessarily perplexing engagement that leads to the imaginative generation of possibilities and recursive building and refining of ideas and processes. Our future research will focus on environments that encourage more comfort with mistakes and contingencies as learning opportunities.

Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students

2019 ◽  
Vol 28 (3) ◽  
pp. 1257-1267 ◽  
Author(s):  
Priya Kucheria ◽  
McKay Moore Sohlberg ◽  
Jason Prideaux ◽  
Stephen Fickas
Keyword(s):  
Academic Success ◽  
Undergraduate Students ◽  
Expository Text ◽  
Reading Strategy ◽  
Detection Algorithm ◽  
Expository Texts ◽  
Human Observer ◽  
Behavioral Strategies ◽  
Periodic Review ◽  
Wide Range

PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting 9 reading strategies. Twelve undergraduate students read 2 expository texts that were equated for length and complexity. A human observer documented the strategies employed by each reader, whereas the computer used digital sequences to detect the same strategies. Data were then coded and analyzed to determine agreement between the 2 sources of strategy detection (i.e., the computer and the observer).ResultsAgreement between the computer- and human-coded strategies was 75% or higher for 6 out of the 9 strategies. Only 3 out of the 9 strategies–previewing content, evaluating amount of remaining text, and periodic review and/or iterative summarizing–had less than 60% agreement.ConclusionRead, Understand, Learn, & Excel provides proof of concept that a reader's approach to engaging with academic text can be objectively and automatically captured. Clinical implications and suggestions to improve the sensitivity of the code are discussed.Supplemental Materialhttps://doi.org/10.23641/asha.8204786

Concept–based Analysis of Java Programming Errors among Low, Average and High Achieving Novice Programmers

10.28945/4246 ◽  
2019 ◽  
Keyword(s):  
Undergraduate Students ◽  
Classroom Practice ◽  
Group Discussion ◽  
Intervention Strategy ◽  
Practice Volume ◽  
Future Research ◽  
Achievement Level ◽  
Java Programming ◽  
Ability Levels ◽  
Programming Errors

[This Proceedings paper was revised and published in the 2019 issue of the Journal of Information Technology Education: Innovations in Practice, Volume 18.] Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However, most of the studies employed omnibus approaches, i.e. without consideration of different programing concepts and ability levels of the trainee programmers. Such concepts and ability specific errors identification and classifications are needed to advance appropriate intervention strategy. Methodology: A sequential exploratory mixed method design was adopted. The sample was an intact class of 124 Computer Science and Engineering undergraduate students grouped into three achievement levels based on first semester performance in a Java programming course. The submitted codes in the course of second semester exercises were analyzed for possible errors, categorized and grouped across achievement level. The resulting data were analyzed using descriptive statistics as well as Pearson product correlation coefficient. Qualitative analyses through interviews and focused group discussion (FGD) were also employed to identify reasons for the committed errors. Contribution:The study provides a useful concept-based and achievement level specific error log for the teaching of Java programming for beginners. Findings: The results identified 598 errors with Missing symbols (33%) and Invalid symbols (12%) constituting the highest and least committed errors respec-tively. Method and Classes concept houses the highest number of errors (36%) followed by Other Object Concepts (34%), Decision Making (29%), and Looping (10%). Similar error types were found across ability levels. A significant relationship was found between missing symbols and each of Invalid symbols and Inappropriate Naming. Errors made in Methods and Classes were also found to significantly predict that of Other Object concepts. Recommendations for Practitioners: To promote better classroom practice in the teaching of Java programming, findings for the study suggests instructions to students should be based on achievement level. In addition to this, learning Java programming should be done with an unintelligent editor. Recommendations for Researchers: Research could examine logic or semantic errors among novice programmers as the errors analyzed in this study focus mainly on syntactic ones. Impact on Society: The digital age is code-driven, thus error analysis in programming instruction will enhance programming ability, which will ultimately transform novice programmers into experts, particularly in developing countries where most of the software in use is imported. Future Research: Researchers could look beyond novice or beginner programmers as codes written by intermediate or even advanced programmers are still not often completely error free.

The effect of realistic mathematics education on student achievement in 8th grades geometric objects teaching

2021 ◽  
Vol 9 (1) ◽  
pp. 20-31
Author(s):  
Hasan Huseyin Aksu ◽  
Keyword(s):  
Academic Success ◽  
Traditional Approach ◽  
T Test ◽  
Learning Activities ◽  
Control Group ◽  
Structured Interviews ◽  
Significance Level ◽  
8Th Grade ◽  
And Control ◽  
Dependent Samples

The purpose of this study is to answer if there is a reasonable difference on academical success of students who get education with traditional and RME approach question on “Teaching geometrical objects to 8th grade students” subject. Study group consists of 47 students which contains 21 experimental and 16 control group from “Ordu Anadolu İmam Hatip High School Project School” in Altinordu, Ordu. Experimental and control group have same academical success level, as the school which this study has runned is a school which accepts students with an exam only. After the experimental and control groups were created, a 25 question pre-test was performed to understand the level of knowledge of the group regarding geometrical objects. The same test was performed on the same groups 8 weeks later as retention test. To determine opinions of the students in experimental group regarding RME and related learning activities, semi-structured interviews are conducted. The data obtained from the pretest, posttest and retention tests were analyzed with t-test for independent samples and t-test for dependent samples and variance analysis for mixed measurements with 0.05 significance level. According to the results, it is seen that learning activities prepared according to RME approach are much more effective than learning activities prepared according to the traditional approach on students’ academic success.

Recreational Prescription Drug Use Among College Students

NASPA Journal ◽  
2006 ◽  
Vol 43 (1) ◽  
Author(s):  
Ethan A Kolek
Keyword(s):  
Drug Use ◽  
Prescription Drug ◽  
Undergraduate Students ◽  
Prescription Drugs ◽  
Drug Users ◽  
Research University ◽  
Future Research ◽  
Negative Consequences ◽  
Prescription Drug Use ◽  
Other Substances

The purpose of this study was to explore recreational prescription drug use among undergraduate students. Although anecdotal accounts on this subject abound, empirical research is extremely limited. Data from a survey of a random sample of 734 students at a large public research university in the Northeast were examined. Results indicate that a substantial proportion of students reported having used prescription drugs for recreational purposes in the year prior to survey administration. Recreational prescription drug use was positively associated with the use of other substances including alcohol. Recreational prescription drug users were also more likely than other drug users to report negative consequences as a result of their drug use. Implications for future research and for student affairs are discussed.

Effects of Audience Response Systems on Student Achievement and Long-Term Retention

2011 ◽  
Vol 39 (10) ◽  
pp. 1431-1439 ◽  
Author(s):  
Selcuk Karaman
Keyword(s):  
Academic Success ◽  
Treatment Group ◽  
Undergraduate Students ◽  
Course Design ◽  
Control Group ◽  
Audience Response ◽  
Multiple Choice Questions ◽  
Audience Response Systems ◽  
Significant Difference ◽  
Response Systems

The effects of audience response systems (ARS) on students' academic success and their perceptions of ARS were examined in this study. Participants, comprising 44 undergraduate students, were randomly assigned to a control or treatment group. The course design was the same for both groups and the instructor prepared the multiple-choice questions in advance; students in the control group responded to these questions verbally whereas the treatment group used ARS. Two paper-based examinations were used to measure the learning of concepts and skills that were taught. Students' perceptions of ARS were collected via a questionnaire. Results showed that ARS usage has a significant learning achievement effect in the first 4 weeks but not at the end of the second 4 weeks. There was no significant difference in retention between either group. Students perceived the ARS tool positively, finding it very enjoyable and useful.

scholarly journals Social exclusion increases the executive function of attention networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Huoyin Zhang ◽  
Shiyunmeng Zhang ◽  
Jiachen Lu ◽  
Yi Lei ◽  
Hong Li
Keyword(s):  
Social Exclusion ◽  
Executive Control ◽  
Brain Regions ◽  
Negative Influence ◽  
Future Research ◽  
Research Attention ◽  
Attention Network ◽  
Attention Networks ◽  
The Social ◽  
And Control

AbstractPrevious studies in humans have shown that brain regions activating social exclusion overlap with those related to attention. However, in the context of social exclusion, how does behavioral monitoring affect individual behavior? In this study, we used the Cyberball game to induce the social exclusion effect in a group of participants. To explore the influence of social exclusion on the attention network, we administered the Attention Network Test (ANT) and compared results for the three subsystems of the attention network (orienting, alerting, and executive control) between exclusion (N = 60) and inclusion (N = 60) groups. Compared with the inclusion group, the exclusion group showed shorter overall response time and better executive control performance, but no significant differences in orienting or alerting. The excluded individuals showed a stronger ability to detect and control conflicts. It appears that social exclusion does not always exert a negative influence on individuals. In future research, attention to network can be used as indicators of social exclusion. This may further reveal how social exclusion affects individuals' psychosomatic mechanisms.

scholarly journals Phony peach disease: past and present impact on the peach industry in the southeastern U.S.A

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Kendall A. Johnson ◽  
Clive H. Bock ◽  
Phillip M. Brannen
Keyword(s):  
New Technologies ◽  
Current Knowledge ◽  
Future Research ◽  
Management Options ◽  
Disease Epidemiology ◽  
Pathogen Diversity ◽  
Foundational Research ◽  
Global Threat ◽  
And Control ◽  
The Impact

Abstract Background Phony peach disease (PPD) is caused by the plant pathogenic bacterium Xylella fastidiosa subsp. multiplex (Xfm). Historically, the disease has caused severe yield loss in Georgia and elsewhere in the southeastern United States, with millions of PPD trees being removed from peach orchards over the last century. The disease remains a production constraint, and management options are few. Limited research has been conducted on PPD since the 1980s, but the advent of new technologies offers the opportunity for new, foundational research to form a basis for informed management of PPD in the U.S. Furthermore, considering the global threat of Xylella to many plant species, preventing import of Xfm to other regions, particularly where peach is grown, should be considered an important phytosanitary endeavor. Main topics We review PPD, its history and impact on peach production, and the eradication efforts that were conducted for 42 years. Additionally, we review the current knowledge of the pathogen, Xfm, and how that knowledge relates to our understanding of the peach—Xylella pathosystem, including the epidemiology of the disease and consideration of the vectors. Methods used to detect the pathogen in peach are discussed, and ramifications of detection in relation to management and control of PPD are considered. Control options for PPD are limited. Our current knowledge of the pathogen diversity and disease epidemiology are described, and based on this, some potential areas for future research are also considered. Conclusion There is a lack of recent foundational research on PPD and the associated strain of Xfm. More research is needed to reduce the impact of this pathogen on peach production in the southeastern U.S., and, should it spread internationally, wherever peaches are grown.

scholarly journals Academic Stress and Study Habits of Health Science University Students

2021 ◽  
Author(s):  
Sukesh Shetty ◽  
Neetha Kamath ◽  
M. Nalini
Keyword(s):  
Academic Success ◽  
Nursing Students ◽  
University Students ◽  
Undergraduate Students ◽  
Sampling Technique ◽  
Academic Stress ◽  
Study Habits ◽  
Health Science ◽  
Pharmacy Students ◽  
Cross Sectional

Abstract Introduction Academic stress and study habits are crucial indicators of academic success. At the moment, faulty study habits press on the students into academic stress. The present study was conducted to identify the academic stress and study habits of university students of health science. Methods This cross-sectional descriptive survey was conducted among 150 undergraduate students of nursing, physiotherapy, and pharmacy (n = 50 in each group). A stratified random sampling technique was used to select the study participants. The information on academic stress and study habits was collected by using the Student Stress Inventory and Palsane and Sharma Study Habit Inventory, respectively. Results Mean score of academic stress was found to be 75.353 ± 16.463. Pharmacy students had a higher level of stress compared to physiotherapy and nursing students (p = 0.013). Furthermore, the prevalence of unsatisfactory study habits among undergraduate students was 72%, with a mean score of 52.7 ± 9.152. Also, nursing students had a higher level of study habits compared to physiotherapy and pharmacy Students. There was no significant relationship found between study habits and academic stress (r = −0.048, p = 0.557). There was a significant association found between study habits and gender (p = 0.021), as well the association found between stress level and course type, Pre-University Course percentage, and first-year percentage (p = 0.044, 0.04, and 0.044 respectively). Conclusion Academic stress and poor study habits are prevalent among undergraduate students. This indicates strategies need to be formed to enhance healthy study habits and alleviate the academic stress of the students, mainly in professional courses; it is an urgent need.

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