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Christensen, Rhonda; Hodges, Charles B.; Spector, J. Michael – Technology, Knowledge and Learning, 2022
Replicating research studies is considered one way of establishing validity and confidence of findings in a field of study. In this paper, we introduce a replication framework for classifying studies conducted in the area of educational technology as a possible guide to conducting and reporting replication studies in the field. The paper includes…
Descriptors: Educational Technology, Educational Research, Classification, Replication (Evaluation)
Holmes, Wayne; Tuomi, Ilkka – European Journal of Education, 2022
Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state-of-the-art AI in education, and exceedingly narrow views on the functions of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Trends
Colasante, Meg – Australasian Journal of Educational Technology, 2022
While online teaching involves a range of contemporary digital tools, there are strong indicators for an ongoing place for video in a new digital learning world. For example, the use of video during the pandemic, to urgently translate on-campus lectures to online content, refocussed the argument on the role of video into the next phase of digital…
Descriptors: Video Technology, Technology Uses in Education, Electronic Learning, COVID-19
Cavanagh, Thomas; Chen, Baiyun; Lahcen, Rachid Ait Maalem; Paradiso, James R. – International Review of Research in Open and Distributed Learning, 2020
While adaptive learning is emerging as a promising technology to promote access and quality at a large scale in higher education (Becker et al., 2018), the implementation of adaptive learning in teaching and learning is still sporadic, and it is unclear how to best design and teach an adaptive learning course in a higher education context. As…
Descriptors: Instructional Design, College Instruction, Individualized Instruction, Educational Technology
Geller, Shay A.; Gal, Kobi; Segal, Avi; Sripathi, Kamali; Kim, Hyunsoo G.; Facciotti, Marc T.; Igo, Michele; Hoernle, Nicholas; Karger, David – IEEE Transactions on Learning Technologies, 2021
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…
Descriptors: Identification, Misconceptions, Student Attitudes, Computer Mediated Communication
Lütge, Christiane; Merse, Thorsten; Owczarek, Claudia; Stannard, Michelle – Studies in Second Language Learning and Teaching, 2019
Digitalization produces increasingly multimodal and interactive literary forms. A major challenge for foreign language education in adopting such forms lies in deconstructing discursive borders between literary education and digital education (romance of the book vs. euphoric media heavens), thereby crossing over into a perspective in which…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Publishing, Second Language Learning
Wampfler, Rafael; Klingler, Severin; Solenthaler, Barbara; Schinazi, Victor R.; Gross, Markus – International Educational Data Mining Society, 2019
The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…
Descriptors: Affective Behavior, Prediction, Problem Solving, Mathematics
Pretto, Gabriella; Curró, Gina – New Review of Academic Librarianship, 2017
Since 1980s the rate of technological change has been phenomenal, creating an impact on the information-seeking behaviors of doctoral students and other researchers. When searching the three fields of Information Technology (IT), Information and Communication Technology (ICT), and Educational Technology (EdTech), it is like opening a Pandora's…
Descriptors: Graduate Students, Doctoral Programs, Literature Reviews, Information Technology
Levin, James A. – E-Learning and Digital Media, 2014
In the early 1990s, Chip Bruce created a taxonomy of education technology uses, which the author of the article helped to expand and evaluate. This taxonomy is based on John Dewey's "four impulses of the child": inquiry, construction, communication, and expression. This taxonomy has helped people interested in the uses of…
Descriptors: Classification, Educational Technology, Philosophy, Technology Uses in Education
Jancaríková, Katerina; Jancarík, Antonín – Electronic Journal of e-Learning, 2017
PISA study has defined several key areas to be paid attention to by teachers. One of these areas is work with models. The term model can be understood very broadly, it can refer to a drawing of a chemical reaction, a plastic model, a permanent mount (taxidermy) to advanced 3D projections. Teachers are no longer confined to teaching materials and…
Descriptors: Foreign Countries, Models, Electronic Learning, Science Education
Ha¨rtinger, Stefan; Clarke, Nigel – Journal of Chemical Education, 2016
Developing skills for searching the patent literature is an essential element of chemical information literacy programs at the university level. The present article creates awareness of patents as a rich source of chemical information. Patent classification is introduced as a key-component in comprehensive search strategies. The free Espacenet…
Descriptors: Science Instruction, Chemistry, Intellectual Property, Classification
Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Lin, Lin; Ross, Haj; O'Connor, Brian; Spector, J. Michael – Educational Technology, 2015
An interdisciplinary approach from linguistics, information sciences, learning sciences, and educational technology is used to explore the concept of information. Several key issues are highlighted, including: (1) learning language through meaning or probability; (2) the situational difference between message and meaning; (3) relationship between…
Descriptors: Interdisciplinary Approach, Concept Teaching, Educational Technology, Information Science
Cherner, Todd; Dix , Judy; Lee, Corey – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2014
As tablet technologies continue to evolve, the emergence of educational applications (apps) is impacting the work of teacher educators. Beyond online lists of best apps for education and recommendations from colleagues, teacher educators have few resources available to support their teaching of how to select educational apps. In response, this…
Descriptors: Handheld Devices, Educational Technology, Computer Oriented Programs, Teacher Educators
Dempsey, John V.; Litchfield, Brenda C. – International Association for Development of the Information Society, 2013
Analysis of learning outcomes can be a complex and esoteric instructional design process that is often ignored by educators and e-learning designers. This paper describes a model of analysis that fosters the real-life application of learning outcomes and explains why the model may be needed. The Elemental Learning taxonomy is a hierarchical model…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Models