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Record W1515005043 · doi:10.1108/itse-10-2014-0033

A course on serious game design and development using an online problem-based learning approach

2015· article· en· W1515005043 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInteractive Technology and Smart Education · 2015
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsYork UniversityOntario Tech University
Fundersnot available
KeywordsComputer scienceGame designInstructional designCourse (navigation)Video game developmentCurriculumGame design documentGame DeveloperTeaching methodGame mechanicsSerious gameMathematics educationGame testingMultimediaPsychologyPedagogyEngineering

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to describe a novel undergraduate course on serious game design and development that integrates both game and instructional design, thus providing an effective approach to teaching serious game design and development. Very little effort has been dedicated to the teaching of proper serious game design and development leading to many examples of serious games that provide little, if any, educational value. Design/methodology/approach – Organized around a collection of video clips (that provided a brief contextualized overview of the topic and questions for further exploration), readings, interdisciplinary research projects and games, the course introduced the principles of game and instructional design, educational theories used to support game-based learning and methods for evaluating serious games. Discussions and activities supported the problems that students worked on throughout the course to develop a critical stance and approach toward implementing game-based learning. Students designed serious games and examined potential issues and complexities involved in developing serious games and incorporating them within a teaching curriculum. Findings – Results of student course evaluations reveal that the course was fun and engaging. Students found the course fun and engaging, and through the successful completion of the final course project, all students met all of the course objectives. A discussion regarding the techniques and approaches used in the course that were successful (or unsuccessful) is provided. Research limitations/implications – It should be noted that a more detailed analysis has not been presented to fully demonstrate the effectiveness of the course. A more detailed analysis may have included a comparison with, for example, past versions of the course that was not based on an online problem-based learning (PBL) approach, to better quantify the effectiveness of the course. However, such a comparison could not be carried out here, given there was no measure of prior knowledge of students taken before they took course (e.g. no “pre-test data”). Originality/value – Unlike the few existing courses dedicated to serious game design, the course was designed specifically to facilitate a fully online PBL approach and provided students the opportunity to take control of their own learning through active research, exploration and problem-solving alone, in groups and through facilitated class discussions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.370
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it