@inbook{Ovchinnikova2022,
	abstract = {Smart technologies, which include but is not limited to artificial intelligence (AI) algorithms, have emerged in the educational domain as a tool to make learning more efficient. Different applications for mastering particular skills, learning new languages, and tracking their progress are used by students. What is the effect on students from using this smart technology? We conducted a systematic review to understand the state of the art. We explored the literature in several subdisciplines: wearables, child psychology, AI and education, school surveillance, and accountability. Our review identified the need for more research for each established topic. We managed to find both positive and negative effects of using wearables, but cannot conclude if smart technology use leads to lowering the student's performance. Based on our insights we propose a framework to effectively identify accountability for smart technology in education.},
	address = {Cham},
	author = {Ovchinnikova, Maria and Ostnes, Daniel and Garshi, Arian and Jakobsen, Malin Wist and Nyborg-Christensen, J{\o}rgen and Slavkovik, Marija},
	booktitle = {Handbook on Intelligent Techniques in the Educational Process: Vol 1 Recent Advances and Case Studies},
	doi = {10.1007/978-3-031-04662-9_11},
	editor = {IIvanovi{\'{c}}, Mirjana
and Kla{\v{s}}nja-Mili{\'{c}}evi{\'{c}}, Aleksandra
and Jain, Lakhmi C.},
	isbn = {978-3-031-04662-9},
	pages = {211--237},
	publisher = {Springer International Publishing},
	title = {Smart Technology in the Classroom: Systematic Review and Prospects for Algorithmic Accountability},
	url = {https://doi.org/10.1007/978-3-031-04662-9_11},
	year = {2022},
	bdsk-url-1 = {https://doi.org/10.1007/978-3-031-04662-9_11}}