Little is known about the evaluation scheme of measuring how successful a mentoring is. There are no tools of success factors for formal mentoring program. In this presentation we introduce the Mentoring Network Model (MNM) based on a formal mentoring program at the WISE (Women into Science & Engineering) Main Center at Ewha Womans University.

The Mentoring Network Model (MNM) is a visualizing model to represent the human networks among mentors and protégés by using a network diagram. The model contains not only people participated in the mentoring but also all members’ relations such as friendship, alumnae, colleagues in the same organization, and neighbor.

By assigning three factors- node, relation and field to the MNM, we analyze the MNM. The nodes represent members and relations between two nodes are expressed by a line and the field is the physical or virtual area representing nodes and the relation in a 2-demension rectangle. If some mentors are belonged to same department of an organization, they can be assigned in same field.

We introduce three indexes- affinity, time and grid-complexity related to the relation of MNM. Affinity (A) is an index for affinity between two members. The affinity is based on the age gap, locality, and personality. We assume the closer network, the better condition for mentoring. The second index, time (T) represents the quantity or time of mentoring activities. We assume the more frequent on-line and off-line interactions between two persons make the index T bigger. The last index, grid-complexity (G), is a complexity index that shows how many relations per node exist in a model. By defining three factors and indices to MNM, we introduce an evaluation scheme how successful the mentoring is. We apply this MNM to WISE mentoring fellow program.

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Public Communication of Science and Technology

 

Mentoring network model and evaluation scheme

Heisook Lee   Ewha Womans University

Young Yoo   Ewha Womans University

Little is known about the evaluation scheme of measuring how successful a mentoring is. There are no tools of success factors for formal mentoring program. In this presentation we introduce the Mentoring Network Model (MNM) based on a formal mentoring program at the WISE (Women into Science & Engineering) Main Center at Ewha Womans University.

The Mentoring Network Model (MNM) is a visualizing model to represent the human networks among mentors and protégés by using a network diagram. The model contains not only people participated in the mentoring but also all members’ relations such as friendship, alumnae, colleagues in the same organization, and neighbor.

By assigning three factors- node, relation and field to the MNM, we analyze the MNM. The nodes represent members and relations between two nodes are expressed by a line and the field is the physical or virtual area representing nodes and the relation in a 2-demension rectangle. If some mentors are belonged to same department of an organization, they can be assigned in same field.

We introduce three indexes- affinity, time and grid-complexity related to the relation of MNM. Affinity (A) is an index for affinity between two members. The affinity is based on the age gap, locality, and personality. We assume the closer network, the better condition for mentoring. The second index, time (T) represents the quantity or time of mentoring activities. We assume the more frequent on-line and off-line interactions between two persons make the index T bigger. The last index, grid-complexity (G), is a complexity index that shows how many relations per node exist in a model. By defining three factors and indices to MNM, we introduce an evaluation scheme how successful the mentoring is. We apply this MNM to WISE mentoring fellow program.

A copy of the full paper has not yet been submitted.

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