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Title:
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ASSESSING YOUNG LEARNERS' INFORMAL LEARNING
IN A ROBOTIC PROGRAM |
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Author(s):
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Liyan Song, Qijie Cai, Suzhen Duan and Scot McNary |
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ISBN:
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978-989-8704-61-0 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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STEM Learning, Evaluation Research, Elementary Students' Learning |
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Type:
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Short |
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First Page:
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389 |
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Last Page:
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392 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Investigating elementary students' learning experiences is a challenge due to their abilities and maturity to articulate their
thought processes during interviews and self-evaluate their perceptions on survey instruments. Traditional research on
elementary students' learning experiences has mostly utilized surveys and observations (Chiu, 2012). Occasionally,
interviews are employed as an additional data collection method. However, there are fundamental concerns about using
surveys for data collection, especially those with self-reported questions as they are often criticized for lacking validity due
to their assumption of participants' ability to accurately report their knowledge and behaviors (Porter, 2011). Despite this
weakness, surveys are popular tools for academic assessment because they can help collect data that are not easily
obtainable otherwise (Porter, Rumann, & Pontius, 2011). The purpose of this paper is to report an evaluation study that
aims to examine the cognitive, affective, and psychomotor domains of elementary students' learning in an informal robotics
program by employing multiple data collection techniques that involve various stakeholders. |
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