The impact of artificial intelligence on learner–instructor interaction in online learning

Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing learning for students, automating instructors’ routine tasks, and powering adaptive assessments. However, while the opportunities for AI are promising, the impact of AI systems on the culture of, norms in, and expectations about interactions between students and instructors are still elusive. In online learning, learner–instructor interaction (inter alia, communication, support, and presence) has a profound impact on students’ satisfaction and learning outcomes. Thus, identifying how students and instructors perceive the impact of AI systems on their interaction is important to identify any gaps, challenges, or barriers preventing AI systems from achieving their intended potential and risking the safety of these interactions. To address this need for forward-looking decisions, we used Speed Dating with storyboards to analyze the authentic voices of 12 students and 11 instructors on diverse use cases of possible AI systems in online learning. Findings show that participants envision adopting AI systems in online learning can enable personalized learner–instructor interaction at scale but at the risk of violating social boundaries. Although AI systems have been positively recognized for improving the quantity and quality of communication, for providing just-in-time, personalized support for large-scale settings, and for improving the feeling of connection, there were concerns about responsibility, agency, and surveillance issues. These findings have implications for the design of AI systems to ensure explainability, human-in-the-loop, and careful data collection and presentation. Overall, contributions of this study include the design of AI system storyboards which are technically feasible and positively support learner–instructor interaction, capturing students’ and instructors’ concerns of AI systems through Speed Dating, and suggesting practical implications for maximizing the positive impact of AI systems while minimizing the negative ones.

“Time Slows Down Whenever You Are Around” for Women but Not for Men

What happens when we unexpectedly see an attractive potential partner? Previous studies in laboratory settings suggest that the visualization of attractive and unattractive photographs influences the perception of time. The major aim of this research is to study time perception and attraction in a realistic social scenario, by investigating if changes in subjective time measured during a speed dating are associated with attraction. The duration of the dates was variable and participants had to estimate the time that passed. Among other measures, participants also rated the potential partners in terms of their physical attractiveness before and after the dates and reported if they would like to exchange contact with them. Results showed that, in a real speed dating situation, when there is a perception of the partner as being physically more attractive, women tend to overestimate the duration of that meeting, whereas men tend to underestimate its duration. Such changes may reflect evolutionary adaptations which make the human cognitive system more responsive in situations related to reproductive fitness.

What you see is what you want to get: Perceived abilities outperform objective test performance in predicting mate appeal in speed dating

Are intelligent, creative, and emotionally competent people more desirable? Evolution-based theories and cross-cultural studies on the ideal partner suggest that they are, with some differences between the sexes and between short-term (ST) and long-term (LT) relationships. However, research that went beyond hypothetical partners and that used psychometric ability tests instead of relying on subjective ability perceptions is sparse. We aimed to assess whether people’s verbal, numerical, and spatial intelligence, creativity, and intra- and interpersonal emotional competence could predict their ST and LT mate appeal. 87 women and 88 men completed psychometric ability measures and participated in heterosexual speed dating. There, they met up to 14 members of the opposite sex and reported their interest in having an ST and LT relationship with each partner as well as their subjective perceptions of the partner’s abilities. External raters assessed the participants’ physical attractiveness. While perceived abilities could broadly predict mate appeal, only one measured ability – women’s creativity – showed a significant association to mate appeal. Notably, effects of perceived and measured abilities were substantially reduced after controlling for physical attractiveness. These results suggest that the investigated abilities – and particularly intelligence – play a lesser role in initial attraction than proposed in the past.