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Gobel, Peter; Kano, Makimi – International Association for Development of the Information Society, 2016
Digital storytelling projects provide a variety of opportunities for learning in the language classroom, but along with these opportunities come a number of challenges for both pedagogy and technology. This presentation describes an ongoing multi-method study into factors involved in task-based learning using digital storytelling. Using intact…
Descriptors: Story Telling, Performance Factors, Electronic Publishing, Statistical Analysis
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Qian, Xiaoyu; Nandakumar, Ratna; Glutting, Joseoph; Ford, Danielle; Fifield, Steve – ETS Research Report Series, 2017
In this study, we investigated gender and minority achievement gaps on 8th-grade science items employing a multilevel item response methodology. Both gaps were wider on physics and earth science items than on biology and chemistry items. Larger gender gaps were found on items with specific topics favoring male students than other items, for…
Descriptors: Item Analysis, Gender Differences, Achievement Gap, Grade 8
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Lynch, Raymond; Patten, James Vincent; Hennessy, Jennifer – Educational Research, 2013
Background: This article considers the impact of differential task difficulty on student engagement and progression within an Irish primary school context. Gaining and maintaining student engagement during learning tasks such as homework is a significant and understandable on-going challenge for teachers. The findings of this study hold the…
Descriptors: Foreign Countries, Difficulty Level, Learner Engagement, Homework
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Park, Minsoo – Information Research: An International Electronic Journal, 2013
Introduction: This study aims to understand the interactions of perception, effort, emotion, time and performance during the performance of multiple information tasks using Web information technologies. Method: Twenty volunteers from a university participated in this study. Questionnaires were used to obtain general background information and…
Descriptors: Web 2.0 Technologies, Man Machine Systems, Computer Interfaces, Difficulty Level
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Nygard, Roald – Scandinavian Journal of Educational Research, 1976
Reanalysis of previous studies indicated mean persistence scores are highest and equal for success-motivated subjects with high subjective expectation of success and for failure-avoidance motivated subjects with low expectation of success; scores are lowest for success-motivated subjects with low success expectation and for failure-avoidance…
Descriptors: Achievement, Difficulty Level, Expectation, Failure
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Fleishman, Edwin A. – American Psychologist, 1975
Discusses briefly some general problems in the development of taxonomic systems applicable to descriptions of human performance and tasks, describing some alternative approaches and provisional classification schemes, and reviewing some attempts to evaluate the utility and validity of these systems. (Author/JM)
Descriptors: Classification, Difficulty Level, Factor Analysis, Performance Criteria
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Lazaros, Edward J.; Rogers, George E. – Journal of Industrial Teacher Education, 2006
In 1993 Wicklein conducted a study to determine the present and the future critical issues and problems facing the technology education (TE) profession. The Wicklein study questioned 25 panelists from 15 states and the District of Columbia to ascertain the issues and problems facing TE. However, in the Wicklein study, only seven of the panelists…
Descriptors: Technology Education, Graduation Requirements, Teacher Attitudes, Secondary School Teachers
Theunissen, Phiel J. J. M. – 1983
Any systematic approach to the assessment of students' ability implies the use of a model. The more explicit the model is, the more its users know about what they are doing and what the consequences are. The Rasch model is a strong model where measurement is a bonus of the model itself. It is based on four ideas: (1) separation of observable…
Descriptors: Ability Grouping, Difficulty Level, Evaluation Criteria, Item Sampling