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James A. Parejko – Journal of Microbiology & Biology Education, 2024
The current and ongoing challenges brought on by climate change will require future scientists who have hands-on experience using advanced molecular techniques, can work with large data sets, and can make correlations between metadata and microbial diversity. A course-embedded research project can prepare students to answer complex research…
Descriptors: Plants (Botany), Microbiology, Science Instruction, Teaching Methods
Van Petegem, Charlotte; Deconinck, Louise; Mourisse, Dieter; Maertens, Rien; Strijbol, Niko; Dhoedt, Bart; De Wever, Bram; Dawyndt, Peter; Mesuere, Bart – Journal of Educational Computing Research, 2023
We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…
Descriptors: Pass Fail Grading, At Risk Students, Introductory Courses, Programming
Vrablecová, Petra; Šimko, Marián – IEEE Transactions on Learning Technologies, 2016
The domain model is an essential part of an adaptive learning system. For each educational course, it involves educational content and semantics, which is also viewed as a form of conceptual metadata about educational content. Due to the size of a domain model, manual domain model creation is a challenging and demanding task for teachers or…
Descriptors: Semantics, Models, Metadata, Programming
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Lama, Manuel; Vidal, Juan C.; Otero-Garcia, Estefania; Bugarin, Alberto; Barro, Senen – Educational Technology & Society, 2012
Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by improving the classification mechanisms of the LO repositories. Specifically, we present a solution to automate the LO classification of the Universia repository, a collection of more than 15…
Descriptors: Foreign Countries, Electronic Libraries, Metadata, Programming
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
Baudino, Frank, Ed.; Johnson, Carolyn, Ed.; Young, Natasha, Ed.; Weese, Bailey, Ed. – Online Submission, 2018
Sixteen scholarly papers and twenty abstracts comprise the content of the eighteenth annual Brick & Click Libraries Conference, held annually at Northwest Missouri State University in Maryville, Missouri. The proceedings, authored by academic librarians and presented at the conference, portray the contemporary and future face of librarianship.…
Descriptors: Academic Libraries, Inclusion, Homosexuality, Sexual Orientation
Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik – Educational Technology & Society, 2012
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…
Descriptors: Foreign Countries, Computer Uses in Education, Information Technology, Open Source Technology
Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen – International Journal of Artificial Intelligence in Education, 2012
Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…
Descriptors: Computer Science Education, Metadata, Internet, Artificial Intelligence
Reiners, Torsten; Dreher, Heinz – Journal of Information Technology Education, 2009
In modern learning environments, the lecturer or educational designer is often confronted with multi-national student cohorts, requiring special consideration regarding language, cultural norms and taboos, religion, and ethics. Through a somewhat provocative example we demonstrate that taking such factors into account can be essential to avoid…
Descriptors: Student Diversity, Culturally Relevant Education, Profiles, Cultural Differences
Torrente, Javier; Moreno-Ger, Pablo; Martinez-Ortiz, Ivan; Fernandez-Manjon, Baltasar – Educational Technology & Society, 2009
Game-based learning is becoming popular in the academic discussion of Learning Technologies. However, even though the educational potential of games has been thoroughly discussed in the literature, the integration of the games into educational processes and how to efficiently deliver the games to the students are still open questions. This paper…
Descriptors: Electronic Learning, Educational Games, Models, Barriers
Brase, Jan; Painter, Mark – Educational Technology & Society, 2004
Learning Objects Metadata (LOM) aims at describing educational resources in order to allow better reusability and retrieval. In this article we show how additional inference rules allows us to derive additional metadata from existing ones. Additionally, using these rules as integrity constraints helps us to define the constraints on LOM elements,…
Descriptors: Inferences, Metadata, Information Retrieval, Standards
Rodriguez-Artacho, Miguel; Verdejo Maillo, M. Felisa – Educational Technology & Society, 2004
This paper presents a reference framework to describe educational material. It introduces the PALO Language as a cognitive based approach to Educational Modeling Languages (EML). In accordance with recent trends for reusability and interoperability in Learning Technologies, EML constitutes an evolution of the current content-centered…
Descriptors: Learning Processes, Standards, Teaching Methods, Instructional Materials
Abel, Marie-Helene; Benayache, Ahcene; Lenne, Dominique; Moulin, Claude; Barry, Catherine; Chaput, Brigitte – Educational Technology & Society, 2004
E-learning leads to evolutions in the way of designing a course. Diffused through the web, the course content cannot be the direct transcription of a face to face course content. A course can be seen as an organization in which different actors are involved. These actors produce documents, information and knowledge that they often share. We…
Descriptors: Course Content, Internet, College Instruction, Models
Agostinho, Shirley; Bennett, Sue; Lockyer, Lori; Harper, Barry – Australasian Journal of Educational Technology, 2004
This paper reports recent work in developing of structures and processes that support university teachers and instructional designers incorporating learning objects into higher education focused learning designs. The aim of the project is to develop a framework to guide the design and implementation of high quality learning experiences. This…
Descriptors: Higher Education, Educational Technology, Program Development, Standards
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