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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Abrahamson, Dor; Abdu, Rotem – Educational Technology Research and Development, 2021
Designers of educational modules for conceptual learning often rely on procedural frameworks to chart out interaction mechanics through which users will develop target understandings. To date, however, there has been no systematic comparative evaluation of such frameworks in terms of their consequences for learning. This lack of empirical…
Descriptors: Educational Technology, Mathematics Instruction, Computer Assisted Instruction, Geometry
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Yong Zeng; John E. McEneaney – Journal of Research Initiatives, 2022
This text presents an argument that competition, as a pedagogical design element, facilitates students' learning motivation in digital game-based learning environments (DGBLEs). Since competition has long been regarded as an adverse pedagogical element for fostering students' learning motivation, a considerable proportion of educators and…
Descriptors: Students, Game Based Learning, Computer Games, Educational Games
Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
Mor, Yishay; Abdu, Rotem – British Journal of Educational Technology, 2018
Several decades of research and development have produced a rich ecology of technologies designed to support active, collaborative constructionist pedagogical practices. Nevertheless, many teachers are reluctant to use these technologies in their teaching or fail to devise learning designs which leverage their qualities. We argue that this tension…
Descriptors: Instructional Design, Epistemology, Educational Practices, Educational Technology
An, Yunjo – International Journal of Technology in Education, 2021
This paper discusses the history of the instructional design and technology field in four major time periods: (1) 1900s-1930s, (2) World War II-1970s, (3) 1980s-1990s, and (4) 21st century. Since the 20th century has been discussed in detail in earlier works, this paper puts more focus on the 21st century section, which includes discussions of…
Descriptors: Instructional Design, Educational History, Social Media, Game Based Learning
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Hamilton, Edward C. – Digital Education and Learning, 2016
In the 1980s, online education was the purview of academically based initiatives. These were largely peripheral to mainstream universities, freeing them from the managerial agendas and practical constraints that often guide innovation in large institutions. They were exploratory, involving the creation of an original pedagogical model and the…
Descriptors: Online Courses, Virtual Universities, Distance Education, Computer Assisted Instruction
Sun, Susan Y. H. – Computer Assisted Language Learning, 2017
This exploratory review brings together research that investigates computer-assisted language learning (CALL), and research in the field of learning design, paying particular attention to the theoretical frameworks and approaches of "design for learning." The attempts of connecting the two fields stem from two critical foci and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Models, Instructional Design
Heift, Trude – International Journal of Artificial Intelligence in Education, 2016
This commentary reconsiders the description and assessment of the design and implementation of "German Tutor," an Intelligent Language Tutoring System (ILTS) for learners of German as a foreign language, published in 2001. Based on our experience over the past 15 years with the design and real classroom use of an ILTS, we address a…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, German
Koole, Marguerite; Lewis, Kevin wâsakâyâsiw – International Journal of Mobile and Blended Learning, 2018
In this article, the authors explore how mobile learning can complement the Certificate of Indigenous Languages program at the University of Saskatchewan in Western Canada. Through the FRAME model analysis, the authors extract salient cultural, pedagogical, environmental, and technological characteristics that should be considered in the…
Descriptors: Telecommunications, Handheld Devices, Computer Software, Teaching Methods
O'Donnell, Eileen; Lawless, Séamus; Sharp, Mary; Wade, Vincent P. – International Journal of Distance Education Technologies, 2015
The realisation of personalised e-learning to suit an individual learner's diverse learning needs is a concept which has been explored for decades, at great expense, but is still not achievable by non-technical authors. This research reviews the area of personalised e-learning and notes some of the technological challenges which developers may…
Descriptors: Electronic Learning, Individualized Instruction, Programming, Authors
Olejarczuk, Edyta – Teaching English with Technology, 2014
Using new technologies in the academic field has become more and more visible in Poland in the recent years. In the past, digital learning resources were used as supplementary materials helping to support face-to-face instruction. Nowadays, we have the opportunity not only to apply "traditional" methods but also to use more sophisticated…
Descriptors: Blended Learning, Electronic Learning, Instructional Design, Curriculum Design
Handley, Zöe; Marsden, Emma – Research-publishing.net, 2014
To establish an evidence base for future computer-assisted language learning (CALL) design, CALL research needs to move away from CALL versus non-CALL comparisons, and focus on investigating the differential impact of individual coding elements, that is, specific features of a technology which might have an impact on learning (Pederson, 1987).…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Intervention