scholarly journals Student Readiness to Accomplish Practical Assignments in Online Learning

Author(s):  
Mukti Amini
2011 ◽  
Vol 32 (1) ◽  
pp. 29-47 ◽  
Author(s):  
Barbara J. Dray ◽  
Patrick R. Lowenthal ◽  
Melissa J. Miszkiewicz ◽  
Maria Araceli Ruiz‐Primo ◽  
Kelly Marczynski

2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Zahir Ibrahim Latheef ◽  
Robert Robinson ◽  
Sedef Smith

Readiness for online learning has been established as a key component of student success in online classes. In addition, the COVID-19 pandemic has underscored how vital being prepared for online can be. This paper highlights an orientation technique widely used in the business field, namely Realistic Job Preview (RJP), as a method to prepare students for what online learning might be like. Our research proposes an RJP would help students adapt to their new role as online learners. For the purposes of this study, we developed a video providing a realistic preview of online learning following recommendations from RJP research. We then conducted a mixed methods study to examine student perceptions of our realistic preview video and an online readiness self-assessment. Overall, our findings provide strong evidence for the use of RJP as a strategy to improve student readiness for online learning.


2020 ◽  
Vol 20 (2) ◽  
pp. 114-130
Author(s):  
Adhi Susilo ◽  
Ojat Darojat ◽  
Deddy Ahmad Suhardi

During Covid-19 pandemic, online learning has been implemented as a strategic solution by many universities to prevent the spread of the Covid-19. This new teaching learning practice has encouraged researchers to conduct a survey of student readiness and satisfaction with the online learning services. This study aims to uncover two strategic issues including factors that influence student readiness and satisfaction and the level of student readiness and satisfaction dealing with online learning services. This research employs quantitative research methods using online surveys and involving all students who were actively registered in 2019 and 2020 both UT and non-UT students who participated in online learning services. Samples, however, were taken from all respondents covering western, central, and eastern Indonesia. It was discovered that structurally, supporting aspects contribute around 37%, prospect aspects 25%, benefit aspects 23%, and constraint aspects 11%, towards a dimension of the formation of participants' online learning perceptions. The findings show that participants have quite different views on supporting aspects, benefits, or prospects of online learning from the aspects of constraints. The relationship among the three distribution groups of variable categories shows three quite different positions in terms of participants' perceptions on online learning, namely accepting, moderate or opposing positions. Their opinion on online learning programs, during the Covid-19 outbreak, participants differed in their opposing positions on the one hand and moderate positions on the other, especially regarding costs, trends, and prices of devices/supporting equipment for online learning participants.


Author(s):  
Shannon Sampson ◽  
Kelly D. Bradley ◽  
Heather Arrowsmith ◽  
Richard Mensah

This chapter was developed out of a study on the effectiveness of an online technology mini-course to prepare students for success in online classes. The work focuses on the methodology used to measure student readiness to engage with technology, and to measure growth in student technical knowledge as a result of the mini-course. The researchers applied Rasch analysis for both of these purposes, creating measurement scales from brief surveys. This chapter describes the results of the study, providing a step-by-step description of how to develop a similar scale for use in the classroom, and how to interpret results of Rasch analysis to gain valuable insight into student understanding of technology.


2021 ◽  
Vol 25 (4) ◽  
pp. 661-680
Author(s):  
Natalia A. Lyz

Introduction. The widespread use of telelearning raises the issue of ensuring its effectiveness. Researchers consider various factors, but student readiness for such learning has not yet become the subject of systemic research in domestic science. The objectives of the article are: to reveal personality predictors of online learning success, to identify the components of student readiness for such learning (on the basis of foreign works); to characterize the readiness and self-efficacy of students’ online educational activities drawing on empirical data. Materials and Methods The researchers utilized the methods of theoretical analysis of the problem and the survey method. The author’s questionnaire was used to collect the data on the online activity of the students, self-assessment of readiness and effectiveness of online learning. 252 first- and second-year IT-students participated in the survey. Results. Five components of students’ readiness for online learning have been identified: attitude towards online learning, self-directed learning, time management, communicative competence, and technical competence. The students’ attitudes towards online learning are ambivalent. The students understand the importance of such training, but they are not willing to invest enough time and effort into it. Two interrelated components (self-directed learning and time management) contribute most to the overall online learning readiness. Online learning self-efficacy is related to technical competence and attitudes towards online learning. Discussion and Conclusion. The results will be useful for further research of the factors and ways improving online learning effectiveness. The research prospects are the development of psychodiagnostic tools for assessing the online learning experience and readiness of students and the diversification of the sampling by adding students from different programme tracks and with different experiences in online educational activities.


Akademika ◽  
2021 ◽  
Vol 10 (01) ◽  
pp. 129-143
Author(s):  
Purwanti Dyah Pramanik ◽  
Santi Maudiarti ◽  
Michael Khrisna Aditya

Online learning is carried out in all higher education after the COVID-19 pandemic. The online learning causes forced online learning preparation. The research aimed to measure student attitudes about online learning, student readiness to learn online, and the influence of student attitudes about online learning on student readiness to learn online.  The research method was descriptive quantitative and the sample was chosen by simple random sampling. The data were obtained from 311 students of the hospitality management diploma 4 of academic year 2017 to 2020 at one of the tourism school in Indonesia who had to carry out online learning. The collected data were tested using validity and reliability test, descriptive test (frequency and mean),  correlation, simple linear regression test and t-test. The result of the mean test showed that students do not like online learning even though they have a perception of readiness to learn online. This result contradicted the results of the simple linear regression test and t-test which concluded that students 'attitudes of online learning positively and significantly affected students' readiness to learn online. The study implication that it is necessary to create efforts to change the attitude of being less accepting of online learning activities into an attitude of accepting online learning for students.


10.28945/4542 ◽  
2020 ◽  
Vol 19 ◽  
pp. 223-242 ◽  
Author(s):  
Ahmad Samed Al-Adwan ◽  
Naser Khdour

Aim/Purpose: The current study has been carried out to reveal students’ readiness to utilize MOOCs at higher learning institutions in Jordan. Background: Higher education institutions around the globe are shifting rapidly to reach learners worldwide by providing open education. In accordance with this universal effort, Jordan is committed to offering open access education that allows learners to access knowledge through the Internet and has launched one of the first Arabic “Massive Open Online Course” (MOOC) platforms in the Arabic region. Thus, students must be prepared and ready for this innovation in education. Nonetheless, MOOCs have been incessantly discussed and have faced wide criticism as an insufficient amount of research has been conducted on students’ readiness to be involved in MOOCs. The level of tertiary students’ preparation to utilize and attend MOOCs as a source of learning is unclear. Methodology: Structural equation modeling (SEM) was used to test the proposed model of students’ readiness for MOOCs. Convenience sampling was used to distribute a paper-based questionnaire to the students of three Jordanian universities during a period of four months from May to September 2019. Out of 700 distributed questionnaires, a total of 537 responses were returned giving a response rate of 76.7%. Out of the returned questionnaires, 69 responses were reported incomplete as most of the questions (>80%) were left unanswered; these 69 questionnaires were eliminated from any further analysis. As a result, a total of 468 questionnaires were valid for statistical analysis. Contribution: This study aims to contribute to the existing literature by examining the perceptions of higher education students in Jordan toward MOOCs. The current study extends the continuing debate about MOOCs with respect to determining which factors influence students’ readiness to participate in these courses. Specifically, this study investigates both the cognitive and psychological influential factors that determine the readiness of Jordanian students to adopt MOOCs. The proposed theoretical framework for this research is based on the work of Yu and Richardson, who developed the model of Student Online Learning Readiness (SOLR). SOLR is comprised of three forms of competency assumed to be important in examining students’ readiness for online learning. Specifically, these competencies are (1) social competency represent skills, capabilities, and a sense of control, which is necessary for managing social situations and developing and sustaining relationships, (2) communication competency, “the ability of an individual to demonstrate knowledge of the appropriate communicative behavior in a given situation”, and (3) technical competencies, “self-efficacy in technology”. Furthermore, the research model includes an additional competency: self-management of learning, “the degree to which a student perceives himself/herself as being self-disciplined and is able to engage in a greatly autonomous learning setting.” Findings: The results obtained from the SEM revealed that students’ readiness to accept MOOCs in their learning is significantly influenced by four types of competency: social, technical, self-management of learning, and communication. Recommendations for Practitioners: Facilitators of MOOCs should take into account that technical competency can be enhanced by recognizing that technical competency related to online learning should be developed, taught, and constantly reinforced at every educational level as a life skill. Additionally, facilitators and developers of MOOCs should be prepared to find methods to support and inspire student participation, and to recognize the importance of learning skills in the MOOC environment. Furthermore, facilitators and developers of MOOCs should increase the social presence of fellow participants in MOOCs, which in turn facilitates the attainment of collaborative learning. Recommendation for Researchers: Researchers may use well-established theories related to investigating online learning usage in exploring students’ readiness to use MOOCs. Impact on Society: A study like the current one would be beneficial for higher education institutions in Jordan to determine the key factors that influence students’ readiness and in turn develop active strategies to address students’ needs in order for them to adopt MOOCs. Future Research: Further studies may include additional factors to better measure students’ readiness to use MOOCs. The additional factors can be revealed by utilizing a qualitative method. Thus, additional studies may employ a mixed-method approach (both quantitative and qualitative) to accurately identify additional factors that may influence student readiness to student readiness to MOOCs and to offer a more holistic understanding of readiness.


2020 ◽  
Vol 2 (2) ◽  
pp. 184-191
Author(s):  
Ni Luh Putu Nina Sriwarthini ◽  
Muhammad Syazali ◽  
Deni Sutisna

The education sector is one of the many sectors that most feel the impact of changes due to the covid-19 pandemic. Starting from early childhood education level to higher education level has now started to try to adapt to the covid-19 pandemic situation. The purpose of this research is to get information on student readiness, especially PGSD study program in facing online learning during the covid-19 pandemic. Student readiness is reviewed from 3 aspects, namely, readiness in terms of facilities and infrastructure owned, readiness in terms of the ability to use media / online learning platforms, and readiness in facing obstacles that will arise when online learning is implemented. The subjects of this study were students of PGSD FKIP Mataram University semesters 1, 3, and 5. This research is a qualitative descriptive research. Data collection is done by disseminating questionnaires and interviews to students in each semester. The data obtained is then analyzed using miles and huberman analysis model (Analysis Interactive Model). The results of the research showed that most PGSD students are ready to carry out online learning during the covid-19 pandemic, reviewed in terms of readiness in terms of facilities and infrastructure owned, readiness in terms of the ability to use online media / learning platforms, and readiness in facing obstacles that will arise when online learning is implemented.


2020 ◽  
Vol 24 (2) ◽  
Author(s):  
Florence Martin ◽  
Brandy Stamper ◽  
Claudia Flowers

The last two decades have seen a steady increase in the number of online courses in higher education. This survey-based study examines student readiness for online learning in 2018, through the dimensions of importance and confidence as measures of readiness.  An instrument with four subscales of competencies (online student attributes, time management, communication, and technical) that measures student readiness for online learning (SROL) was developed. Reliability of student responses to an online readiness instrument and factors related to student perception are examined. Descriptive statistics and item level means for the competencies are provided. Two repeated measures ANOVAs with one-within subject factor (four subscales for importance and competency) were conducted. Online student attributes, time management, and technical competencies were rated high for importance compared to communication competencies. Students were confident in online student attributes and technical competencies compared to time management and communication. Data was also analyzed based on demographic differences. MANOVA showed significant differences based on the race (white and non-white) of the students and course format (asynchronous, synchronous, and blended) on their perceptions of online learning competencies.


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