20.500.12556/RUL-138143 What can off- and online measures tell about students’ self-regulation and their achievement while learning science expository hypertext Self-regulated learning (SRL) plays an important role in successful learning with hypertexts. The use of appropriate SRL strategies helps students acquire new knowledge more efficiently. We investigated the use of SRL strategies in individual learning from expository science hypertext, the correlations between different measures of self-regulation, and the differences in SRL between more and less successful students. A sample of 443 ninth graders from 15 different schools participated in the study. A variety of off- and online measures were used to measure SRL. Data were collected from student traces, questionnaires, tests scores, and notes. Low correlations between the off- and online measures of SRL suggest that they measure different aspects of SRL use in learning digital science texts. Student achievement in science positively correlated with their use of SRL strategies. Students with higher knowledge gains reported the higher use of deep cognitive strategies, higher motivation for learning, and used a higher number of strategies in note-taking while learning. The results of this study may have practical implications for teachers to support student SRL and for developers of digital learning materials to incorporate SRL scaffolding into learning topics. self-regulated learning science expository hypertext student achievement samoregulacijsko učenje naravoslovni razlagalni hiperteks učni uspeh true false true Angleški jezik Slovenski jezik Članek v reviji 2022-07-12 10:44:04 2022-07-12 10:44:05 2022-09-15 04:16:22 0000-00-00 00:00:00 2022 0 0 Str. 1-19 iss. 9 Vol. 14 May 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2022-05-01 004 2071-1050 10.3390/su14095686 107992835 sustainability-14-05686.pdf sustainability-14-05686.pdf 1 0F18DB9B929BF07719049E870CA4626E 9106212d873ac4819a5b59fdd098cccc05d5bfd69f4807e88e43fb956152862b 54b20f80-01bf-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=158377 https://www.mdpi.com/2071-1050/14/9/5686 1 8f90dc3c-01be-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=158376 Fakulteta za računalništvo in informatiko Filozofska fakulteta Naravoslovnotehniška fakulteta 0 0 0