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Munawaroh, Siti; Sunandar, Ari; Qurbaniah, Mahwar – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2023
The development of e-module materials for the classification of living things based on scientific literacy and bio-ethnotaxonomy issues is still very limited. This study aims to develop e-modules for the classification of living things based on scientific literacy and bamboo ethnotaxonomy that are valid and suitable for use in learning. This…
Descriptors: Scientific Literacy, Science Instruction, Classification, Taxonomy
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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
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Marlatt, Rick; Sulzer, Mark A. – E-Learning and Digital Media, 2021
Set in English Language Arts, this article takes up recent trends in literacy toward investigating ontological notions of digital texts. Two teacher educators recently implemented a series of readings and activities in their methods courses designed to help preservice teachers sophisticate their conceptions of texts beyond autonomous, neutral…
Descriptors: Preservice Teachers, English Instruction, Language Arts, Computation
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Mirmoghtadaie, Zohresadat; Keshavarz, Mohsen; Mohammadimehr, Mojgan; Rasouli, Davood – International Review of Research in Open and Distributed Learning, 2023
In peer observation of teaching, an experienced colleague in the educational environment of a faculty member observes the educational performance of that faculty member and provides appropriate feedback. The use of peer review as an alternative source of evidence of teaching effectiveness is increasing. However, no research has been done in the…
Descriptors: Learning Management Systems, Academic Achievement, Peer Evaluation, Teacher Evaluation
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Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
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Jelinski, Nicolas A.; Moorberg, Colby J.; Ransom, Michel D.; Bell, James C. – Natural Sciences Education, 2019
A survey of introductory soil science or equivalent (ISS[subscript e]) instructors and courses at 79 institutions differing in land-grant status (38 land-grant, 41 non-land-grant) and Carnegie category (48 doctoral, 16 masters, 10 baccalaureate, 2 associate, 3 respondents did not identify by Carnegie classification) was conducted to collect…
Descriptors: Introductory Courses, Soil Science, Land Grant Universities, Scientific Concepts
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Güyer, Tolga; Aydogdu, Seyhmus – Journal of Educational Technology Systems, 2016
This study suggests a classification model and an e-learning system based on this model for all instructional theories, approaches, models, strategies, methods, and technics being used in the process of instructional design that constitutes a direct or indirect resource for educational technology based on the theory of intuitionistic fuzzy sets…
Descriptors: Instructional Design, Classification, Educational Technology, Electronic Learning
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Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
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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
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Purarjomandlangrudi, Afrooz; Chen, David; Nguyen, Anne – International Journal of Learning and Change, 2015
E-learning is implementation of technologies in learning process and is growing at a very rapid pace. E-learning technology has matured noticeably and the majority of organisations are taking advantage of it in their educational systems. However, there is a lack of methodical and consistent paradigm of these technologies in literature. The purpose…
Descriptors: Electronic Learning, Educational Technology, Literature Reviews, Classification
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Tuul, Suvdmaa; Banzragch, Otgontugs; Saizmaa, Tsogzolmaa – International Review of Research in Open and Distributed Learning, 2016
This paper reviews the e-learning course development in selected universities of Mongolia and attempts to classify the e-learning programs that are in practice at the tertiary education level in the country. The given paper uses both secondary and primary sources. The authors determined what factors influence e-learning type classification and how…
Descriptors: Foreign Countries, Electronic Learning, Higher Education, Teaching Methods
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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
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Samejima, Masaki; Hisakane, Daichi; Komoda, Norihisa – Interactive Technology and Smart Education, 2015
Purpose: The purpose of this paper is to annotate an attribute of a problem, a solution or no annotation on learners' opinions automatically for supporting the learners' discussion without a facilitator. The case method aims at discussing problems and solutions in a target case. However, the learners miss discussing some of problems and solutions.…
Descriptors: Case Method (Teaching Technique), Teaching Methods, Electronic Learning, Opinions
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Krajcso, Zita; Frimmel, Ulrike – Universal Journal of Educational Research, 2017
Foreign language teachers and learners use digital repositories frequently to find appropriate activities for their teaching and learning activities. The question is: How can content providers support them in finding exactly what they need and in retrieving high quality resources? This question has been discussed in the literature and in the…
Descriptors: Electronic Learning, Online Courses, Technological Advancement, Technology Uses in Education
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Passey, Don – Computers in the Schools, 2012
In this article the author focuses on signature pedagogies that are associated with different forms of educational technologies. The author categorizes forms of technologies that support the teaching and learning of mathematics in different ways, and identifies signature pedagogies associated with each category. Outcomes and impacts of different…
Descriptors: Educational Technology, Teaching Methods, Mathematics Instruction, Mathematics Education
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