Educational psychology has to change the ways of teaching, learning, and interacting with data due to the advancement of technology. As Mishra et al (2005) have mentioned, study phenomena, data collection, and analysis are highly related to technology. The teaching and learning contexts moving from traditional classrooms to virtual spaces are transformed by the advances in technology such as online classrooms, game-based learning, and social networks. Data collection and analysis are different than before. Besides eye-tracking and neuroimaging, a rising approach for data collection is using “crowd workers” (in Amazon Mechanical Turk) to work on your study as participants. Unlike traditional laboratories, online studies facilitate the data collection process to the extent of scope and quantity. Educational data mining also provides a different method to study educational psychology (p.32). It seeks to develop and improve methods for exploring domain-specific data and discovering new insights about learning behaviors. Both formal and informal learning are impacted. Multimedia teaching in different subject matters and museum learning through interactive video are good examples to demonstrate the integration of media in learning. Although Kirschner et al (2006) claim that guided learning is more helpful and effective than unguided ones, the context matters. The guidance can be more straightforward and effective in the well-structured domains rather than ill-structured. Spiro and DeSchryver (2009) indicate that the Web (and other online platforms) could potentially help people to develop their skills in solving complex problems in ill-structured domains.
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