A5057564770- Online Learning and Analytics
- Social and Intergroup Psychology
- Social Media and Politics
- Conflict Management and Negotiation
- Misinformation and Its Impacts
- Computational and Text Analysis Methods
- Language, Metaphor, and Cognition
- Experimental Behavioral Economics Studies
- Big Data and Business Intelligence
- Discourse Analysis in Language Studies
- Advanced Text Analysis Techniques
- Language, Discourse, Communication Strategies
- Impact of Technology on Adolescents
- Nonprofit Sector and Volunteering
- Behavioral Health and Interventions
- Complex Systems and Decision Making
- Digital Marketing and Social Media
- Media Influence and Health
- Education and Critical Thinking Development
- Artificial Intelligence in Games
- Tourism, Volunteerism, and Development
- Emotions and Moral Behavior
- Knowledge Management and Sharing
- Organizational Management and Leadership
- Psychological and Educational Research Studies
Imperial College London
2020-2025
Michigan State University
2024
Harvard University
2019-2020
Pacific Northwest National Laboratory
2020
University of California, Berkeley
2020
Bocconi University
2020
University of Michigan
2020
University of Massachusetts Amherst
2020
Georgia Institute of Technology
2020
Brown University
2020
Abstract Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these because they cheap scale, we do not know how compare human judgment. Here, computer recommender systems recommenders in a domain that affords humans many advantages: predicting which jokes will find funny. We outperform humans, whether strangers, friends, or family. Yet averse relying on systems. This aversion partly stems from the fact...
Significance Low persistence in educational programs is a major obstacle to social mobility. Scientists have proposed many scalable interventions support students learning online. In one of the largest international field experiments education, we iteratively tested established behavioral science and found small benefits depending on individual contextual characteristics. Forecasting intervention efficacy using state-of-the-art methods yields limited improvements. Online education provides...
Conversation is a fundamental human experience that necessary to pursue intrapersonal and interpersonal goals across myriad contexts, relationships, modes of communication. In the current research, we isolate role an understudied conversational behavior: question-asking. Across 3 studies live dyadic conversations, identify robust consistent relationship between question-asking liking: people who ask more questions, particularly follow-up are better liked by their conversation partners. When...
Student intention and motivation are among the strongest predictors of persistence completion in Massive Open Online Courses (MOOCs), but these factors typically measured through fixed-response items that constrain student expression. We use natural language processing techniques to evaluate whether text analysis open responses questions about utility value can offer additional capacity predict over above information obtained from items. Compared simple benchmarks based on demographics, we...
Among all of the learners in Massive Open Online Courses (MOOCs) who intend to complete a course, majority fail do so. This intention-action gap is found many domains human experience, and research similar goal pursuit suggests that plan-making cheap effective nudge encourage follow-through. In natural field experiment three HarvardX courses, some students received open-ended planning prompts at beginning course. These increased course completion by 29%, payment for certificates 40%. effect...
This package provides tools to extract politeness markers in English natural language.It also allows researchers easily visualize and quantify between groups of documents.This combines extends prior research on the linguistic (Brown Levinson, 1987;Danescu-Niculescu-Mizil et al., 2013;Voigt 2017).We demonstrate two applications for detecting language during consequential social interactionsdistributive negotiations, speed dating.
When entering into a negotiation, individuals have the choice to enact variety of communication styles. We test differential impact being “warm and friendly” versus “tough firm” in distributive negotiation when first offers are held constant concession patterns tracked. train natural language processing algorithm precisely quantify difference between how people warm friendly tough firm find that two styles differ primarily length their expressions politeness (Study 1). Negotiators with style...
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording analysis techniques over the last decade allowed researchers to directly precisely examine conversations natural contexts at larger scale than ever before, these open new paths understand humanity social world. Existing reviews of text conversation research focused on generated...
Humans spend much of their lives in conversation, where they tend to hold many simultaneous motives. We examine two fundamental desires: be responsive a partner and disclose about oneself. introduce one pervasive way people attempt reconcile these competing goals-
Abstract A personal view of creativity in art and science is developed. Definitions emphasise connections the process solving problems, expressing ideas feelings. This characteristic important design science. There are teaching techniques that may be adopted to foster creative behaviour school continuing practice teachers makes a significant contribution classroom performance. Reference made work author.
Planning is a self-regulated learning strategy and widely used behavior change technique that can help learners achieve academic goals (e.g., pass an exam, apply to college, or complete online course). Numerous studies have tested the effects of planning interventions, but few examined content learners' plans how it relates their outcomes. Building on large-scale intervention study, we conducted qualitative analysis 650 learner sampled from 15 massive open courses (MOOCs). We identified...