this study investigated the utility of all of the above (aota) as a test option in multiple-choice items. it aimed at estimating item fit, item difficulty, item discrimination, and guess factor of such a choice. five reading passages of the key english test (ket, 2010) were adapted. the test was reconstructed in 2 parallel forms: test 1 did not include the abovementioned alternative, whereas te...

Representation learning (RL) has recently proven to be effective in capturing local item relationships by modeling item co-occurrence in individual user’s interaction record. However, the value of RL for recommendation has not reached the full potential due to two major drawbacks: 1) recommendation is modeled as a rating prediction problem but should essentially be a personalized ranking one; 2...