User Preference for Instructional Formats: An Evaluation of Performance

1983 ◽  
Vol 27 (6) ◽  
pp. 441-444
Author(s):  
Craig J. Petrun ◽  
Suzanne Henry ◽  
Marian MacDonald ◽  
Robert Torrey ◽  
Eric Anderson
Keyword(s):  
User Preferences ◽  
User Preference ◽  
Preference Data ◽  
Operator Performance ◽  
Evaluation Of Performance ◽  
Performance Differences ◽  
Significant Performance ◽  
And Performance ◽  
Instructional Formats ◽  
The Impact

Three studies were performed to determine the effect of different formats on user preferences and performance. In Studies 1 and 2, operators were presented instructional formats which differed on the following variables: 1) the use of graphic illustrations, 2) the amount and use of color, 3) the type of blocking used to separate the information on each page. The results of both studies indicated that operator preferences were significantly affected by the use of graphics, random blocking, and amount of color. Study 3 examined the impact of preferred and non-preferred formats on operator performance and their preferences after using a given format. The results showed that there were no significant performance differences between the formats. The preference data, however, demonstrated that formats containing color, random blocking, and graphics were still the most preferred variables.

scholarly journals Self-regulated learning as a predictor of mathematics and reading performance: A picture of students in Grades 5 to 8

2019 ◽  
Vol 63 (1) ◽  
pp. 74-97 ◽  
Author(s):  
Susan-Marie Harding ◽  
Narelle English ◽  
Nives Nibali ◽  
Patrick Griffin ◽  
Lorraine Graham ◽  
...  
Keyword(s):  
Reading Comprehension ◽  
Reading Performance ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Performance Differences ◽  
Age Related ◽  
Regulated Learning ◽  
And Performance ◽  
The Impact ◽  
Learning And Performance

Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian students from Grades 5 to 8 completed mathematics or reading comprehension assessments and self-regulated learning questionnaires, with each response ranked on a hierarchy of quality. All assessments were psychometrically analysed and validated. In each cohort and overall, higher performing students reported higher levels of self-regulated learning. Still, age-related differences outweighed performance differences, resulting in significantly lower reported usage of self-regulated learning skills in Grade 7 students compared to those in Grades 5, 6 and 8. These findings suggest that either age or school organisational differences mediate students’ self-regulated learning, counteracting ability-related associations.

scholarly journals Evolutionary Social Poisson Factorizationfor Temporal Recommendation

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
ChunYan Yin ◽  
YongHeng Chen ◽  
Wanli Zuo
Keyword(s):  
Recommendation Systems ◽  
Predictive Performance ◽  
User Preferences ◽  
Social Model ◽  
User Preference ◽  
Latent Factors ◽  
Factorization Model ◽  
Real World Datasets ◽  
Item Attributes ◽  
The Impact

AbstractPreference-based recommendation systems analyze user-item interactions to reveal latent factors that explain our latent preferences for items and form personalized recommendations based on the behavior of others with similar tastes. Most of the works in the recommendation systems literature have been developed under the assumption that user preference is a static pattern, although user preferences and item attributes may be changed through time. To achieve this goal, we develop an Evolutionary Social Poisson Factorization (EPF$$\_$$ _ Social) model, a new Bayesian factorization model that can effectively model the smoothly drifting latent factors using Conjugate Gamma–Markov chains. Otherwise, EPF$$\_$$ _ Social can obtain the impact of friends on social network for user’ latent preferences. We studied our models with two large real-world datasets, and demonstrated that our model gives better predictive performance than state-of-the-art static factorization models.

Fund Flow Volatility and Performance

2009 ◽  
Vol 45 (1) ◽  
pp. 223-237 ◽  
Author(s):  
David Rakowski
Keyword(s):  
Mutual Fund ◽  
Negative Relationship ◽  
Fund Flows ◽  
Cross Sectional ◽  
Fund Flow ◽  
Performance Differences ◽  
Significant Negative Relationship ◽  
Equity Funds ◽  
And Performance ◽  
The Impact

AbstractThis paper provides a detailed analysis of the impact of daily mutual fund flow volatility on fund performance. I document a significant negative relationship between the volatility of daily fund flows and cross-sectional differences in risk-adjusted performance. This relationship is driven by domestic equity funds, as well as small funds, well-performing funds, and funds that experience inflows over the sample period. My results are consistent with performance differences arising from the transaction costs of nondiscretionary trading driven by daily fund flows, but not with performance differences arising from the suboptimal cash holdings that arise from fund flows.

Effect on Operator Performance at Thin Profile Keyboard Slopes of 5°, 10°, 15°, and 25°

1982 ◽  
Vol 26 (5) ◽  
pp. 430-434 ◽  
Author(s):  
Thomas W Suther ◽  
John H McTyre
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Stimulus Material ◽  
Hard Copy ◽  
Operator Performance ◽  
Thin Profile ◽  
Performance Differences ◽  
Significant Performance

This study was performed to determine how keyboard geometric differences at angles of 5°, 10°, 15°, and 25° affected user keyboard performance. Sixteen participants typed from hard copy stimulus material to an IBM Datamaster (System/23). One-way analysis of variance with repeated measures produced no significant performance differences. Participants reported the keyboard uncomfortable at 5° and 25°. Participants reported no difference between the 10° and 15° positions (p <.05). The authors recommend a range of 10° to 18° for fixed sloped keyboard and 10° to 25° adjustment range for a flexible keyboard.

SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)

2021 ◽  
Author(s):  
David Gamero ◽  
Andrew Dugenske ◽  
Thomas Kurfess ◽  
Christopher Saldana ◽  
Katherine Fu
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Large Scale ◽  
Production Systems ◽  
Database Systems ◽  
Data Set ◽  
Manufacturing Firm ◽  
Performance Differences ◽  
And Performance ◽  
The Impact

Abstract In this paper, the design and performance differences between Relational Database Management Systems (RDBMS) and NoSQL Database Systems are examined, with attention to their applicability for real-world Internet of Things for manufacturing (IoTfM) data. While previous work has extensively compared SQL and NoSQL for both generalized and IoT uses, this work specifically examines the tradeoffs and performance differences for manufacturing applications by using a high-fidelity data set collected from a large US manufacturing firm. Growing an IoT system beyond the pilot stage requires scalable data storage; this work seeks to determine the impact of selected database systems on data write performance at scale. Payload size and message frequency were used as the primary characteristics to maintain model fidelity in simulated clients. As the number of simulated asset clients grow, the data write latency was calculated to determine how both database systems’ performance were affected. To isolate the RDBMS and NoSQL differences, a cloud environment was created using Amazon Web Services (AWS) with two identical data ingestion pipelines: writing data to an RDMBS (1) using AWS Aurora MySQL, and (2) using AWS DynamoDB NoSQL. The findings may provide guidance for further experimentation in large-scale manufacturing IoT implementations.

User preference for instructional formats: An evaluation of performance

1983 ◽  
Author(s):  
Craig J. Petrun ◽  
Suzanne Henry ◽  
Marian MacDonald ◽  
Robert Torrey ◽  
Eric Anderson
Keyword(s):  
User Preference ◽  
Evaluation Of Performance ◽  
Instructional Formats

EXPRESS: The Best Broths are Cooked in the Oldest Pans: An Empirical Test of the Practice-based View in the Wine Industry

2021 ◽  
pp. 147612702110702
Author(s):  
Jerome Barthelemy
Keyword(s):  
Significant Relationship ◽  
Empirical Test ◽  
Wine Industry ◽  
Firm Level ◽  
Resource Based View ◽  
Large Sample ◽  
Industry Level ◽  
Performance Differences ◽  
And Performance ◽  
The Impact

The practice-based view (PBV) has recently been proposed as a counter to the resource-based view of the firm (RBV). Unlike the RBV, the PBV contends that performance differences among firms can accrue from readily available practices. Using a large sample of wines over a 20-year period, I find evidence of a significant relationship between the implementation of practices and performance. Findings also indicate that the strength of this relationship is contingent on the possession of valuable, rare, inimitable and non-substitutable (VRIN) resources (a firm-level moderator) and the prevalence of practices (an industry-level moderator). The impact of practices on performance is less pronounced when firms possess VRIN resources. It also declines as they become more widespread in an industry.

scholarly journals Ownership type, bank models, and bank performance: the case of the Yemeni banking sector

2018 ◽  
Vol 67 (8) ◽  
pp. 1271-1289 ◽  
Author(s):  
Fekri Ali Mohammed Shawtari
Keyword(s):  
Performance Indicators ◽  
Banking Sector ◽  
Bank Performance ◽  
Ownership Type ◽  
Content Type ◽  
Return On Equity ◽  
Significant Performance ◽  
And Performance ◽  
The Impact ◽  
Ownership Types

Purpose The purpose of this paper is to examine bank performance using the different performance measures, namely, return on assets, return on equity and bank margins (MAR). Design/methodology/approach Unbalanced panel data were constructed to test the related hypotheses and provide evidence on the relationship between ownership types, banking models and performance indicators adopting the random effects techniques. Findings The findings of the paper substantiate that the banking models are significant performance indicators. However, the results are contingent on the GDP growth of the country. Moreover, the evidence indicates that the impact of ownership types is inconclusive in all measures of performance. However, the GDP is significant when it interacts with the types of ownership, particularly for foreign and government banks, although the evidence is mixed and unfavourable for government banks. Practical implications The results of the study provide insights for bankers and policymakers to enhancement Yemen’s banking sector. Originality/value This study is considered as the first attempt in examining the role of banking model and ownership type and their link to banking model.

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