Education and Learning Technologies

The data provided the raw coding data for systematic review and meta-analysis of AR in higher education. Regarding the coding data for systematic review, the coding scheme comprises five parts: basic information, disciplines, technology features, instructional design, and research results. Regarding the coding data for meta-analysis, we code the effect size and several moderating variables  of the selected experimental research studies.

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The Theory of Integrated Language Learning (ToILL) supports many complementary schools of educational thought. The constructivism, pragmatism, humanism, and sociocultural theory are combined in one process to produce an integrated and successful method of language acquisition. The approach promotes the complete person development in a continuously changing environment that is global in nature but does not stop at cognitive components but also concerns the social and emotional experiences of the students.

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A number of major aspects of creative English language teaching are reviewed in this. What makes this research interesting is the integration of technology, mostly via artificial intelligence (AI) and mobile based learning, which give new ways to improve the student engagement and learning results.

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Here i got parsed literature site https://avidreaders.ru for about 10.000.000 sentences from russian books and make sentence vector embeddings from them using Mistral open API.

Embeddings got resized from 1024 to 256 dimensions using python scikit-learn PCA method.

Word embeddings are a way of representing words as vectors in a multi-dimensional space, where the distance and direction between vectors reflect the similarity and relationships among the corresponding words.

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The Reflectance Transformation Imaging dataset consists of 32 images from the squeeze of the inscription "Hymn of Kouretes" or "Hymn of Palaikastron" (fragment A, side A) which is hosted at the Archaeological Museum of Heracleon, Crete. The resulting .PTM file is also available, which opens with the free software RTI Viewer.

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We develope a novel TCM hallucination detection dataset, Hallu-TCM, sine no prior work has attempted this task in TM. We selected 1,260 TCM exam questions including 16 TCM subjects, input them into GPT-4, and collected their feedback. In the first level, we utilize Qwen-Max interface to annotate feedback multiple times with the binary label. If Qwen-Max consistently provided the same label across annotations, we adopted that label. For contentious cases, we recruited higher-degree research students who can understand and solve complex questions, including three Ph.D.

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The dataset is collected to find the requirement of industry based skillset in the higher education system in order to meet industry demands, involving people from multiple tier institutions(premium institutions Government institutions, local universities), academia and the industry. Many a times there is a big difference in the quality of education provided across the different categories of universities. Hence it was imperative understand the skillsets of students and the industry expectations.

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The UNISTUDIUM dataset contains the logs collected by Unistudium, the University of Perugia elearning platform based on moodle, a open source software for learning management systems (https://moodle.org).

The collected logs record interactions with the platform of students attending 4 courses during the time period of one semester, from 1st September to 31st December. 

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